基于量子拓扑的计算资源分配优化

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computing, leveraging the principles of quantum mechanics, holds immense promise for revolutionizing various fields, including drug discovery, materials science, and artificial intelligence. However, realizing this potential requires sophisticated and efficient resource allocation, a challenge currently addressed by traditional optimization methods. This paper introduces a novel framework, "Quantum Topology Allocation Optimization" (QTAO), designed to optimize the allocation of computational resources within quantum computing systems, specifically focusing on leveraging the unique properties of quantum spacetime. The core mechanism centers around the inherent structure of quantum systems – the topology – allowing for an optimization strategy that transcends conventional approaches. We demonstrate the effectiveness of QTAO through a series of simulations and analyses, showcasing improved resource utilization and enhanced quantum algorithm performance. This research represents a significant step forward in optimizing quantum computing infrastructure, paving the way for more reliable and efficient quantum computations.

DOI: 10.5281/zenodo.22276571

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